tardis-em


Nametardis-em JSON
Version 0.2.7 PyPI version JSON
download
home_pagehttps://github.com/SMLC-NYSBC/TARDIS
SummaryPyTorch segmentation of 2D/3D images such as electron tomography (ET),Cryo-EM or fluorescent microscopy data into 3D segmented point cloud.
upload_time2024-05-28 16:45:20
maintainerNone
docs_urlNone
authorRobert Kiewisz, Tristan Bepler
requires_python>=3.10
licenseMIT
keywords semantic segmentation instance segmentation mt segmentation membrane segmentation cnn fnet dist
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            MIT License

Copyright (c) 2022 Robert Kiewisz, Tristan Bepler

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/SMLC-NYSBC/TARDIS",
    "name": "tardis-em",
    "maintainer": null,
    "docs_url": null,
    "requires_python": ">=3.10",
    "maintainer_email": null,
    "keywords": "semantic segmentation, instance segmentation, MT segmentation, membrane segmentation, CNN, FNet, DIST",
    "author": "Robert Kiewisz, Tristan Bepler",
    "author_email": "rkiewisz@nysbc.org",
    "download_url": "https://files.pythonhosted.org/packages/5a/b5/afc2f071eddf4626db110f163a068967abb1fa7605fded8508629ae3a0a1/tardis_em-0.2.7.tar.gz",
    "platform": null,
    "description": "MIT License\n\nCopyright (c) 2022 Robert Kiewisz, Tristan Bepler\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE.\n",
    "bugtrack_url": null,
    "license": "MIT",
    "summary": "PyTorch segmentation of 2D/3D images such as electron tomography (ET),Cryo-EM or fluorescent microscopy data into 3D segmented point cloud.",
    "version": "0.2.7",
    "project_urls": {
        "Homepage": "https://github.com/SMLC-NYSBC/TARDIS"
    },
    "split_keywords": [
        "semantic segmentation",
        " instance segmentation",
        " mt segmentation",
        " membrane segmentation",
        " cnn",
        " fnet",
        " dist"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "331040299e4343f6e8430a88b54ceae3bb4e86369a40822c9d8535bb9f2277c4",
                "md5": "5cddc21dd7db6fb8d4d8d66eff13b83f",
                "sha256": "ce0a514c1dd98d304ba4b3e0c9fc276c05db1410d86444bd17fb85a80e0722a7"
            },
            "downloads": -1,
            "filename": "tardis_em-0.2.7-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "5cddc21dd7db6fb8d4d8d66eff13b83f",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.10",
            "size": 192520,
            "upload_time": "2024-05-28T16:45:09",
            "upload_time_iso_8601": "2024-05-28T16:45:09.717193Z",
            "url": "https://files.pythonhosted.org/packages/33/10/40299e4343f6e8430a88b54ceae3bb4e86369a40822c9d8535bb9f2277c4/tardis_em-0.2.7-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "5ab5afc2f071eddf4626db110f163a068967abb1fa7605fded8508629ae3a0a1",
                "md5": "3e2765159f88ed26b53a1741378e6fda",
                "sha256": "d736b1f5b9fbd84abd46cabc9ce6682e8298d844ab17eb9522712d92685e0296"
            },
            "downloads": -1,
            "filename": "tardis_em-0.2.7.tar.gz",
            "has_sig": false,
            "md5_digest": "3e2765159f88ed26b53a1741378e6fda",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.10",
            "size": 166556,
            "upload_time": "2024-05-28T16:45:20",
            "upload_time_iso_8601": "2024-05-28T16:45:20.684014Z",
            "url": "https://files.pythonhosted.org/packages/5a/b5/afc2f071eddf4626db110f163a068967abb1fa7605fded8508629ae3a0a1/tardis_em-0.2.7.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-05-28 16:45:20",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "SMLC-NYSBC",
    "github_project": "TARDIS",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": true,
    "requirements": [],
    "lcname": "tardis-em"
}
        
Elapsed time: 0.40204s